Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Department of Psychology, The University of Hong Kong, Hong Kong Special Administrative Region, China; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Lancet Psychiatry. 2023 Oct;10(10):801-808. doi: 10.1016/S2215-0366(23)00146-3. Epub 2023 Jul 18.
Impairments in social coordination form a core dimension of various psychiatric disorders, including schizophrenia. Advances in interpersonal and computational psychiatry support a major change in studying social coordination in schizophrenia. Although these developments provided novel perspectives to study how interpersonal activities shape coordination and to examine computational mechanisms, direct attempts to integrate the two methodologies have been sparse. Here, we propose an interpersonal computational framework that (1) leverages the active inference framework to model aberrant social coordination processes in schizophrenia and (2) incorporates dynamical system models to dissect intrapersonal and interpersonal synchronisation to inform a statistical model based on active inference. We discuss how this interpersonal computational psychiatry framework can elucidate the aberrant processes leading to psychopathology, with schizophrenia as an example, and highlight how it might aid clinical intervention and practice. Finally, we discuss challenges and opportunities for using the framework in studying social coordination impairments.
社会协调障碍是各种精神障碍(包括精神分裂症)的核心维度。人际和计算精神病学的进步支持了在精神分裂症中研究社会协调的重大转变。尽管这些发展为研究人际活动如何塑造协调以及检验计算机制提供了新的视角,但直接整合这两种方法的尝试却很少。在这里,我们提出了一个人际计算框架,(1)利用主动推理框架来模拟精神分裂症中异常的社会协调过程,(2)结合动力系统模型来剖析人际和自身同步,为基于主动推理的统计模型提供信息。我们讨论了这种人际计算精神病学框架如何阐明导致精神病理学的异常过程,以精神分裂症为例,并强调它如何帮助临床干预和实践。最后,我们讨论了在研究社会协调障碍时使用该框架的挑战和机遇。